Model Explainer
Feature Importances
Classification Stats
Individual Predictions
What if...
Feature Dependence
Feature Interactions
Decision Trees
Feature Importances
Model performance metrics
metric
Score
accuracy
0.883
precision
1.0
recall
0.042
f1
0.082
roc_auc_score
0.995
pr_auc_score
0.946
log_loss
0.197
Confusion Matrix
How many false positives and false negatives?
Precision Plot
Does fraction positive increase with predicted probability?
Classification Plot
Distribution of labels above and below cutoff
ROC AUC Plot
Trade-off between False positives and false negatives
PR AUC Plot
Trade-off between Precision and Recall
Lift Curve
Performance how much better than random?
Cumulative Precision
Expected distribution for highest scores
Individual Predictions
Select Random Index
Selected index:
None
Prediction
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Contributions Plot
How has each feature contributed to the prediction?
no index selected
Partial Dependence Plot
Contributions Table
How has each feature contributed to the prediction?
no index selected
What if...
Select Random Index
Selected index:
None
Prediction
input data incorrect
Feature Input
Adjust the feature values to change the prediction
Selected:
None
ct_state_ttl
dttl
sbytes
dur
ct_srv_dst
dloss
ackdat
ct_srv_src
ct_src_dport_ltm
djit
trans_depth
is_sm_ips_ports
sttl
proto
dstip
smeansz
sload
dbytes
dpkts
spkts
swin
stcpb
dtcpb
dwin
state
attack_cat
dmeansz
srcip
sintpkt
ct_dst_ltm
dsport
synack
ct_dst_sport_ltm
stime
ct_ftp_cmd
res_bdy_len
dload
sloss
dintpkt
service
sport
tcprtt
ct_dst_src_ltm
ct_src_ltm
sjit
ltime
ct_flw_http_mthd
is_ftp_login
Contributions Plot
How has each feature contributed to the prediction?
input data incorrect
Partial Dependence Plot
input data incorrect
Contributions Table
How has each feature contributed to the prediction?
input data incorrect
Feature Dependence
Shap Summary
Ordering features by shap value
Shap Dependence
Relationship between feature value and SHAP value
Feature Interactions
Interactions Summary
Ordering features by shap interaction value
Interaction Dependence
Relation between feature value and shap interaction value
Decision Trees
Select Random Index
Selected index:
None
Decision Trees
Displaying individual decision trees inside Random Forest
no index selected
Decision path table
Decision path through decision tree
no tree selected